Dalwinder Kaur
Papers
1
Total Citations
2
H-Index
1
About
Dalwinder Kaur is an emerging scholar at the intersection of educational technology and language acquisition, with a primary focus on integrating robotic systems into English as a Foreign Language (EFL) pedagogy. Her most-cited work, "Interconnected Through Robotic System in English Foreign Language Education" (2024), explores how human-robot interaction can foster immersive, communicative learning environments—a timely contribution as AI-driven tools reshape classrooms worldwide. Though her citation count (2) reflects the recency of her research, the paper signals a growing interest in leveraging robotics to bridge linguistic and cultural gaps in EFL contexts. Kaur’s work is notable for its forward-looking emphasis on interconnectivity, proposing that robotic systems can serve as patient, adaptive tutors that reduce learner anxiety and promote active participation. As the field of computer-assisted language learning evolves, her research offers a foundational framework for educators and technologists seeking to design more inclusive, interactive language curricula. With her focus on practical, scalable applications, Kaur is poised to influence how next-generation classrooms harness robotics to democratize language education.
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Top Papers
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